Data Landscape of GenAI for Project Managers
Project Management Institute
- Data quality, volume and types
- Governance/security and ethical risks
- GenAI Data Landscape Canvas and collaboration with organizational experts
Browse / 181 listings
Compare training in privacy, security and responsible AI. Check that the curriculum connects principles to the decisions and information your team actually handles.
Alphabetical order · 101–120 of 181
Project Management Institute
Microsoft
Management Circle AG
Routine task/process identification, prompt/template development, automation potential, tool choice, critical output review and human-in-the-loop safeguards; privacy, bias and hallucination are addressed.
Training Heights Limited
Plan AI/cloud transformation and establish AI governance policies, bias controls, compliance and service reporting.
Universidad Iberoamericana (IBERO Online) with Pontificia Universidad Javeriana Cali
Ehrenreich AG
HERMES, Scrum and SAFe; planning, risk, reporting, privacy and governance.
Scrum Alliance
Two modules combine a short video, readings, a Scrum Master case study and a structured reflection/check method for judging whether AI support is sufficiently generative, iterative and under human oversight. Topics include bias, privacy, role accountability, metrics, retrospective formats and text-feedback patterns. Five listed assignments are quizzes/knowledge checks; no learner-submitted governance artifact is established.
Centre for Behavioral Science
EA Ignite
PM session covers stakeholder alignment, rhythm-of-business audits, advanced scoping, milestone governance and lightweight tracking, then AI decision logs, escalation memos and executive status summaries.
Fundação Getulio Vargas
Machine learning and generative AI, AI in PM, AI project management, CRISP-DM, quality, ethics and privacy.
France Formation Groupe
Meeting actions, planning, risk, reporting, Excel and privacy/validation.
School of AI
Evaluate AI use cases, governance and operating models, then plan deployment monitoring and team adoption.
Fractal Analytics
Consulting exercises use AI for research, issue trees, workplans, proposals, slide narratives and Excel-linked analysis with quality/security checks.
SkillsBooster Academy
Four courses: PM Basics (general PM foundations), Project Management with AI, ChatGPT for PM and Microsoft Copilot for PM; project plans, risk, reporting, meetings, budget and governance.
Pluralsight
GenAI benefits/pitfalls, suitable PM tasks, output validation/analysis, model basics, team governance and responsible adoption.
SkillUp
AI for requirements elicitation, process modeling, stakeholder communication and data analysis with office/visualization tools; privacy and human-oversight checks.
skilldeve
French data/AI project framing and roadmap planning, roles, project communication, uncertainty/arbitrage, quality, responsible AI and business-value delivery.
UniCesumar
The 140-hour, four-module curriculum names project risk, Big Data analytics, practical AI tools, data product management, AI ethics/Responsible AI and the AI project lifecycle (CRISP-DM and MLOps). Provider outcomes cover leading AI/data projects from conception through implementation and monitoring, coordinating multidisciplinary teams and structuring data products.
Universidad Panamericana (Educación Continua)
Modules address bias and AI risks, AI Act/NIST and risk-based approaches, data and digital rights, algorithmic assessment/audit, implementation challenges, emerging technologies and governance ecosystems. Provider lists evaluating risks/bias, designing internal policies, identifying legal implications and implementing governance/compliance practices.
Microsoft Learn
Evaluate responsible-AI cases, design an AI system responsibly and examine organizational implementation, fairness and privacy.